Abstract
The swirl flow-meter is widely used in the wellhead measurement of low-permeability gas fields. However, the liquid loading in the measured wet gas will influence the precessing vortex signal. In this study, the MEMS three-axis acceleration sensor (MEMS-TAAS) replaced the traditional piezoelectric sensor to detect the frequency signal from the interference noise. It is found that within the range of type I wet gas, the vortex precession frequency has not been destroyed. Then through the Synchrosqueezed Wavelet Transform (SWT) method, the fluctuation of the instantaneous frequency of the vortex-precession signals was tracked in the time-frequency domain, which was found to be able to reflect the change of the liquid-phase flow rate while being less affected by the gas-phase flow rate. On this basis, the Relative Standard Deviation (RSD) parameter was proposed to represent and quantify this characteristic. Combining this with the main frequency which can reflect the gas phase flow rate, a wet gas two-phase flow measurement model was then set up. The results demonstrated that this model’s relative errors of gas and liquid volume flow rates were within ±4.0% and ±24.8 (Pc=90%), respectively. This method provides a new approach to the vortex precession signal processing and also gives an economical and practical solution for wet gas measurement, which has strong anti-interference ability and supports online measurement, and can achieve the accurate prediction of two-phase flow through only one swirl meter with a MEMS-TAAS.
Funding Information
  • National Natural Science Foundation of China (62273252)

This publication has 21 references indexed in Scilit: